ArticleNucleic acids research2015
Mouse Tumor Biology (MTB): a database of mouse models for human cancer.
Article in Nucleic acids research, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
39 citing papers in PubMed, 54 citations in OpenAlex.
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- A promoterless AAV6.2FF-based lung gene editing platform for the correction of surfactant protein B deficiency.Molecular therapy : the journal of the American Society of Gene Therapy · 2023Article
- The Mouse Models of Human Cancer database (MMHCdb).Disease models & mechanisms · 2023Article
- TISMO: syngeneic mouse tumor database to model tumor immunity and immunotherapy response.Nucleic acids research · 2022Article
- Enhancer-Gene Interaction Analyses Identified the Epidermal Growth Factor Receptor as a Susceptibility Gene for Type 2 Diabetes Mellitus.Diabetes & metabolism journal · 2021Article
- CYP2J2 Molecular Recognition: A New Axis for Therapeutic Design.Pharmacology & therapeutics · 2020Review
- Nonclassical roles for IFN-γ and IL-10 in a murine model of immunoedition.Future science OA · 2020Article
- Estimation of non-null SNP effect size distributions enables the detection of enriched genes underlying complex traits.PLoS genetics · 2020Article
- Article
- Contrasting Patterns of Rapid Molecular Evolution within the p53 Network across Mammal and Sauropsid Lineages.Genome biology and evolution · 2019Article
- Distribution of endogenous gammaretroviruses and variants of the Fv1 restriction gene in individual mouse strains and strain subgroups.PloS one · 2019Article
- An effective biomedical document classification scheme in support of biocuration: addressing class imbalance.Database : the journal of biological databases and curation · 2019Article
- Metabolic Regulators Nampt and Sirt6 Serially Participate in the Macrophage Interferon Antiviral Cascade.Frontiers in microbiology · 2019Article
- Using Mouse andInternational journal of molecular sciences · 2018Review
- Mitochondrial polymorphisms contribute to aging phenotypes in MNX mouse models.Cancer metastasis reviews · 2018Article
- Mouse Genome Database (MGD)-2018: knowledgebase for the laboratory mouse.Nucleic acids research · 2018Article
- Aging Mouse Models Reveal Complex Tumor-Microenvironment Interactions in Cancer Progression.Frontiers in cell and developmental biology · 2018Review
- Mitochondrial Haplotype Alters Mammary Cancer Tumorigenicity and Metastasis in an Oncogenic Driver-Dependent Manner.Cancer research · 2017Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors at 1 institution in 1 country.
Funding
Abstract
The Mouse Tumor Biology (MTB; http://tumor.informatics.jax.org) database is a unique online compendium of mouse models for human cancer. MTB provides online access to expertly curated information on diverse mouse models for human cancer and interfaces for searching and visualizing data associated with these models. The information in MTB is designed to facilitate the selection of strains for cancer research and is a platform for mining data on tumor development and patterns of metastases. MTB curators acquire data through manual curation of peer-reviewed scientific literature and from direct submissions by researchers. Data in MTB are also obtained from other bioinformatics resources including PathBase, the Gene Expression Omnibus and ArrayExpress. Recent enhancements to MTB improve the association between mouse models and human genes commonly mutated in a variety of cancers as identified in large-scale cancer genomics studies, provide new interfaces for exploring regions of the mouse genome associated with cancer phenotypes and incorporate data and information related to Patient-Derived Xenograft models of human cancers.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.